Encouraging children to safely walk, scoot, or ride their bikes to school is instrumental in fostering a healthy and active lifestyle. But how can one evaluate the walkability to and from a school? footpath.ai data makes the assessment simple and quick. See the demonstration below for the East Maitland Public School.
The very first step is to evaluate the presence of physical pedestrian infrastructure, a.k.a. the footpath or sidewalk network. In many suburbs across Australia (and many other countries), the footpath network is usually incomplete and disconnected, providing poor walking accessibility to schools. Many streets have a footpath only on one side, and many more do not have a footpath at all.
footpath.ai offers the most up-to-date footpath network data, presented in a format suitable for network connectivity and accessibility analysis. The 360° imagery, as well as the automated AI-detected assets, also provide a complete view of the quality of the walking infrastructure. This includes details such as the width of the footpath, the surface material, the presence of shade/weather protection, marked pedestrian crossings, signage, the presence of a shelter at bus stops, curb cuts, etc. All are available in GIS format as points, lines, or polygons that can easily be integrated into any geospatial or GIS platform software.
Check out the imagery and data on our map browser: